Price-based Power Allocation for Multi-UAV Enabled Wireless Networks

In this paper, we study the problem of downlink power allocation in the multi-UAV enabled wireless networks, where the unmanned aerial vehicles (UAVs) act as the aerial base stations (BSs) to serve a group of users on the ground. To solve the problem, we propose a price-based optimal power allocation scheme, and model the interaction between the UAVs and the ground users as a Stackelberg game. As the leaders of the game, the UAVs choose the optimal power price to maximize their own revenue. Each ground user of the networks selects optimal power strategy to maximize its own utility. In order to solve the equilibrium program with equilibrium constraints (EPEC) problem of the Stackelberg game, we investigate the lower equilibrium of the ground users, and propose a distributed iterative algorithm to obtain the equilibrium of the lower game. Simulation results show that through the price-based optimal power allocation scheme, the capacity of the BSs and the rates of users are improved.